| This paper studies the construction control of the cable-stayed bridge with swivel construction,mainly including three aspects:the influence of the construction sensitive parameters on the internal force of the main beam,the shape of the main beam and the deviation of the bridge tower,summarizes the theoretical method of the construction control of the cable-stayed bridge with Swivel Construction,and uses the BP neural network method to identify and modify the construction parameters.Based on Longyan bridge,Fujian,this paper establishes the corresponding finite element model.On the basis of ensuring the smooth construction,it conducts a series of research on the construction control and sensitivity parameter analysis of the cable-stayed bridge with swivel construction.First of all,according to the actual construction process of Longyan bridge,the finite element analysis model of cable-stayed bridge with swivel construction is established by using Midas civil finite element calculation software.For the sensitivity analysis of construction parameters,different construction influencing factors are selected in the two turnaround stages,and the fixed amplitude change is carried out on the basis of the design value.Through the calculation of the construction process,the influence of various factors in the turnaround stage on the internal force of the main beam,the main beam line shape and the deviation of the bridge tower is obtained.Secondly,this paper analyzes the key technologies of construction control of cable-stayed bridge in Swivel Construction in detail,summarizes the corresponding construction control methods and theories,and then accurately controls the status of each stage of construction of cable-stayed bridge.At the same time,it discusses the advantages and limitations of each of the parameters and models in key stages of construction swivel,cable adjustment and other key stages,compared with the results between the standard and the existing theories,and the calculation results It is used to guide the construction process.Finally,on the basis of the completion of sensitivity factor analysis,using the improved normalization analysis method to compare and sort out the most influential construction sensitivity factors.The learning samples are calculated by the finite element calculation software,and the linear control parameter identification model of the rotary construction cable-stayed bridge based on BP neural network is established.The identification results are applied to the construction control of the cable-stayed bridge to ensure the smooth closure of the swivel.Through the research results of this paper,it can be seen that the cable force and the self-weight of the main girder are the main sensitive factors affecting the construction accuracy of the rotary construction of the cable-stayed bridge.The BP neural network method can be used to optimize the main girder alignment in the process of the rotary construction,but the specific project needs to make corresponding adjustments to get the high acccuracy results.In the practical application of the existing control theory and code of cable-stayed bridge swivel construction,it is necessary to consider the differences of specific projects and select reasonably according to the characteristics of the project. |